docs/docs/tutorial/openedai-speech-integration.md

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11	Integrating OpenedAI-Speech with Open WebUI using Docker Desktop

Integrating openedai-speech into Open WebUI using Docker Desktop

What is openedai-speech?

:::info openedai-speech is an OpenAI API compatible text-to-speech server that uses Coqui AI's xtts_v2 and/or Piper TTS as the backend. It's a free, private, text-to-speech server that allows for custom voice cloning and is compatible with the OpenAI audio/speech API. :::

Prerequisites

• Docker Desktop installed on your system
• Open WebUI running in a Docker container
• A basic understanding of Docker and Docker Compose

Option 1: Using Docker Compose

Step 1: Create a new folder for the openedai-speech service

Create a new folder, for example, openedai-speech-service, to store the docker-compose.yml and .env files.

Step 2: Create a docker-compose.yml file

In the openedai-speech-service folder, create a new file named docker-compose.yml with the following contents:

services:
  server:
    image: ghcr.io/matatonic/openedai-speech
    container_name: openedai-speech
    env_file: .env
    ports:
      - "8000:8000"
    volumes:
      - tts-voices:/app/voices
      - tts-config:/app/config
    # labels:
    #   - "com.centurylinklabs.watchtower.enable=true"
    restart: unless-stopped

volumes:
  tts-voices:
  tts-config:

Step 3: Create an .env file (optional)

In the same openedai-speech-service folder, create a new file named .env with the following contents:

TTS_HOME=voices
HF_HOME=voices
#PRELOAD_MODEL=xtts
#PRELOAD_MODEL=xtts_v2.0.2
#PRELOAD_MODEL=parler-tts/parler_tts_mini_v0.1

Step 4: Run docker-compose to start the openedai-speech service

Run the following command in the openedai-speech-service folder to start the openedai-speech service in detached mode:

docker compose up -d

This will start the openedai-speech service in the background.

Option 2: Using Docker Run Commands

You can also use the following Docker run commands to start the openedai-speech service in detached mode:

With GPU (Nvidia CUDA) support:

docker run -d --gpus=all -p 8000:8000 -v tts-voices:/app/voices -v tts-config:/app/config --name openedai-speech ghcr.io/matatonic/openedai-speech:latest

Alternative without GPU support:

docker run -d -p 8000:8000 -v tts-voices:/app/voices -v tts-config:/app/config --name openedai-speech ghcr.io/matatonic/openedai-speech-min:latest

Configuring Open WebUI

:::tip For more information on configuring Open WebUI to use openedai-speech, including setting environment variables, see the Open WebUI documentation. :::

Step 5: Configure Open WebUI to use openedai-speech

Open the Open WebUI settings and navigate to the TTS Settings under Admin Panel > Settings > Audio. Add the following configuration as shown in the following image:

• API Base URL: http://host.docker.internal:8000/v1
• API Key: sk-111111111 (note: this is a dummy API key, as openedai-speech doesn't require an API key; you can use whatever for this field)

Step 6: Choose a voice

Under TTS Voice within the same audio settings menu in the admin panel, you can set the TTS Model to use from the following choices below that openedai-speech supports. The voices of these models are optimized for the English language.

• tts-1 or tts-1-hd: alloy, echo, echo-alt, fable, onyx, nova, and shimmer (tts-1-hd is configurable; uses OpenAI samples by default)

Model Details:

• tts-1 via Piper TTS (very fast, runs on CPU): You can map your own Piper voices via the voice_to_speaker.yaml configuration file.

• tts-1-hd via Coqui AI/TTS XTTS v2 voice cloning (fast, but requires around 4GB GPU VRAM & Nvidia GPU with CUDA): Custom cloned voices can be used for tts-1-hd. See: Custom Voices Howto

  • Multilingual Support with XTTS voices

• Beta parler-tts support (you can describe very basic features of the speaker voice), See: (https://www.text-description-to-speech.com/) for some examples of how to describe voices. Voices can be defined in the voice_to_speaker.default.yaml. Two example parler-tts voices are included in the voice_to_speaker.default.yaml file. parler-tts is experimental software and is on the slower side. The exact voice will be slightly different each generation but should be similar to the basic description.

Step 7: Press Save to apply the changes and start enjoying naturally sounding voices

Press the Save button to apply the changes to your Open WebUI settings and enjoy using openedai-speech integration within Open WebUI to generate naturally sounding voice responses with text-to-speech.

Troubleshooting

If you encounter any issues, make sure that:

• The openedai-speech service is running and the port you set in the docker-compose.yml file is exposed.
• The host.docker.internal hostname is resolvable from within the Open WebUI container. host.docker.internal is required since openedai-speech is exposed via localhost on your PC, but open-webui cannot normally access this from within its container.
• The API key is set to a dummy value, as openedai-speech doesn't require an API key.

FAQ

How can I control the emotional range of the generated audio?

There is no direct mechanism to control the emotional output of the audio generated. Certain factors may influence the output audio like capitalization or grammar, but internal tests have yielded mixed results.

Additional Resources

For more information on openedai-speech, please visit the GitHub repository.

:::note You can change the port number in the docker-compose.yml file to any open and usable port, but make sure to update the API Base URL in Open WebUI Admin Audio settings accordingly. :::